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Field
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the system to learn optimal adjustment policies directly from interaction with the physical infrastructure. Anomaly detection and fault diagnosis. The candidate will develop a multi-level diagnostic framework
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-of-the-art machine learning methods, acoustic sensing can provide valuable insight into a wide range of processes occurring within the built environment. Potential applications include structural health
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Contacts Offers for Alumni Contact persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Tübingen Structural Microscopy (TSM) Research Data Management (RDM) Core research Back
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site-specific conditions such as structural anisotropy and in-situ stress variations leading to either overly conservative designs or unplanned dilution. To overcome these challenges, this project will
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will focus on the experimental part of the project, which involves the construction and build-up of experimental setups, as well as performing state-of-the-art measurements (PIV-based) of the multi-phase
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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-doctorate/bonn-international-graduate-schools ) which contains structured doctoral programmes approved by the rectorate of the University of Bonn. BIGS DrugS Education Programme: BIGS DrugS offers talented
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influenced by optimal training and technique in both a sport and health perspective as well as in rehabilitation of patients. The department's activities take place in "state of the art" laboratories, equipped
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methodologically challenging. In realistic applications, uncertainty arises from multiple sources, including parametric uncertainty, model-form and structural assumptions, numerical discretization, and incomplete
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. These simulations are essential for optimizing the design and placement of wind turbines in complex terrains. Multiscale approaches utilize advanced computational techniques, including nested grids and adaptive mesh